A modular factory testbed for the rapid reconfiguration of manufacturing systems

A modular factory testbed for the rapid reconfiguration of manufacturing systems

The recent manufacturing trend toward mass customization and further personalization of products requires factories to be smarter than ever before in order to: (1) quickly respond to customer requirements, (2) resiliently retool machinery and adjust operational parameters for unforeseen system failu...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2020-03, Vol.31 (3), p.661-680
Main Authors: Kim, D.-Y., Park, J.-W., Baek, S., Park, K.-B., Kim, H.-R., Park, J.-I., Kim, H.-S., Kim, B.-B., Oh, H.-Y., Namgung, K., Baek, W.
Format: Article
Language:eng
Subjects:
Business and Management
Computer programming
Configurable programs
Control
Customers
Factories
Industrial plants
Machines
Manufacturing
Mechatronics
Modularity
New technology
Plant layout
Processes
Production
Reconfiguration
Robotics
System failures
Workstations
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Summary:The recent manufacturing trend toward mass customization and further personalization of products requires factories to be smarter than ever before in order to: (1) quickly respond to customer requirements, (2) resiliently retool machinery and adjust operational parameters for unforeseen system failures and product quality problems, and (3) retrofit old systems with upcoming new technologies. Furthermore, product lifecycles are becoming shorter due to unbounded and unpredictable customer requirements, thereby requiring reconfigurable and versatile manufacturing systems that underpin the basic building blocks of smart factories. This study introduces a modular factory testbed, emphasizing transformability and modularity under a distributed shop-floor control architecture. The main technologies and methods, being developed and verified through the testbed, are presented from the four aspects of rapid factory transformation: self-layout recognition, rapid workstation and robot reprogramming, inter-layer information sharing, and configurable software for shop-floor monitoring.
ISSN:0956-5515
1572-8145